Biblio

Context-based Parametric Relationship Models (CPRM) define complex dependencies between different types of parameters. In particular, Security and QoS relationships, that may occur at different levels of abstraction, are easily identified using CPRM. However, the growing number of parameters and relationships, typically due to the heterogeneous scenarios of future networks, increase the complexity of the final diagrams used in the analysis, and makes the current solution for assessing Security and QoS tradeoff (SQT) impractical for untrained users. In this paper, we define a recommendation system based on contextual parametric relationships in accordance with the definition of CPRM. The inputs for the system are generated dynamically based on the context provided by CPRM-based systems.

Mobile platforms are becoming a fundamental part of the user’s daily life. The human-device relationship converts the devices in a repository of personal data that may be stolen or modified by malicious users. Moreover, wireless capabilities open the door to several malicious devices, and mobility represents an added difficulty in the detection of malicious behavior and in the prevention of the same. Furthermore, smartphones are subject to quality of service (QoS) restrictions, due to the user needs for multimedia applications and, in general, the need to be always-on. However, Security and QoS requirements are largely confronted and the mobility and heterogeneous paradigm on the Future Internet makes its coexistence even more difficult, posing new challenges to overcome. We analyze the principal challenges related with Security and QoS tradeoffs in mobile platforms. As a result of our analysis we provide parametric relationships between security and QoS parameters focused on mobile platforms.

 Motivated by the growing convergence of diverse types of networks and the raise of new concepts such as Future Internet (FI), in this paper we present an analysis of current research on the development of security mechanisms in a tradeoff with Quality of Service (QoS) mechanisms. More precisely, we pay attention to the Security and QoS problems in resource-constrained networks that are candidates to be an important part of the FI due to their proximity to the user or because of their contribution to the information society. We analyse the current state of the research on security and QoS in the integration of sensors, MANET and cellular networks, with the aim of providing a critical point of view, allowing us to assess whether it is possible that such integration of networks is both secure and efficient.

En este trabajo proponemos una plataforma para el desarrollo de un sistema colaborativo para la detección y reacción ante intrusiones, empleando como base las tecnologías presentes en Intel vPro. La solución presentada está dirigida a solventar la necesidad de implantación de nuevas tecnologías que posibiliten la reacción ante ataques, independientemente del sistema operativo usado. Con este fin, en este trabajo abordamos tres puntos fundamentales: la detección de intrusiones colaborativa, la respuesta automática de los nodos ante la detección de una intrusión y el uso de herramientas que posibiliten asegurar la confianza en un nodo. En un sistema colaborativo como el que se propone aquí, un aspecto clave para la seguridad es la protección de las comunicaciones entre los mecanismos de detección y reacción frente a intrusiones. La modificación o el simple acceso a los datos intercambiados por tales sistemas supone un grave riesgo para la seguridad del entorno. Como resultado hemos desarrollado un prototipo preliminar para probar la solución propuesta en un escenario de ataque real.